Contents

lime 0.2.0.1

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Local Interpretable Model-Agnostic Explanations for machine learning classifiers

Local Interpretable Model-Agnostic Explanations for machine learning classifiers

Stars: 11323, Watchers: 11323, Forks: 1787, Open Issues: 112

The marcotcr/lime repo was created 8 years ago and the last code push was 1 weeks ago.
The project is extremely popular with a mindblowing 11323 github stars!

How to Install lime

You can install lime using pip

pip install lime

or add it to a project with poetry

poetry add lime

Package Details

Author
Marco Tulio Ribeiro
License
BSD
Homepage
http://github.com/marcotcr/lime
PyPi:
https://pypi.org/project/lime/
GitHub Repo:
https://github.com/marcotcr/lime
No  lime  pypi packages just yet.

Errors

A list of common lime errors.

Code Examples

Here are some lime code examples and snippets.

GitHub Issues

The lime package has 112 open issues on GitHub

  • explanation of Siamese neural network
  • How to get explanations for all classes
  • active sampling strategy
  • Configuring with cosine_similarity and tf_idf
  • TypeError: list indices must be integers or slices, not tuple".

See more issues on GitHub